1DD3-IL05 - Advanced image processing and pattern recognition

Course secondName name: 

Zaawansowane metody przetwarzania obrazów i rozpoznawania wzorców

Course is a part of following study programmes:

Ellective in catalogs:

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• Przedmioty wydziałowe - INF (III stopień) podstawowy Study stage: Doktoranckie, doktoranckie III-go stopnia, stacjonarne, polski
• Przedmioty wydziałowe - INF (III stopień) podstawowy Study stage: Doktoranckie, doktoranckie III-go stopnia, stacjonarne, polski , sem.: 2 - 6 (1)

Short content: 

Presentation of advanced techniques of image processing and pattern recognition in lectures. In addition, students will have the opportunity to solve the real scientific problem from this domain and to study and present to others a chosen method from the literature (papers in scientific journals).

Syllabus details: 

Part I

1.1. Introduction to processing of images and other sensoric data
1.2. Survey of basic image processing methods
1.3. Frequency and wavelet methods
1.4. Advanced morphological methods
1.5. Methods of information extraction form images

Part II

2.1 Introduction to pattern analysis - classification and clustering
2.2 Data analysis for recognition purposes
2.3 Statistical approach to classification
2.4.Tree-based classification
2.5 Machine learning
2.6 Data clustering

Literature: 

- Gonzales, Woods, ""Digital Image Processing"", Pentice Hall
- Duda, Hart, ""Pattern classification"", Willey
- selected papers

Grading criteria: 

-

Notes: 

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Courses which this course is based on (prerequisities):

• Educational effect for specialization Studium doktoranckie:
• Wiedza
  (E)Karta przedmiotu nie posiada zdefiniowanych efektów kształcenia
• Umiejętności
  (E)Karta przedmiotu nie posiada zdefiniowanych efektów kształcenia
• Kompetencje społeczne
  (E)Karta przedmiotu nie posiada zdefiniowanych efektów kształcenia
• • ECTS with teacher assistance: 2 
  • ECTS on practical activities: 2 
• • ECTS justification:

  • Zajęcia kontaktowe z nauczycielem: 

    Lectures,

  • Classes / work without teacher assistance: 

    1. Project - finding a solution of selected problem
    2. Study and presentation of chosen method form the literature

  • • Total number of student hours: 50 
  • Total number of ECST reflects the total number of hours of student's work.